Work Your Magic with us Ready to explore, break barriers, and discover more? We know you've got big plans - so do we Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginablewith us. Your role: You will be joining the Life Science Analytics Center of Excellence (ACE), a strategic partner of the Life Science business sector, providing tailored data & AI solutions and empowering data-driven decisions. By leveraging advanced analytics, AI, and machine learning, ACE supports the Life Science community in optimizing processes, driving data governance, and fostering a culture of continuous improvement. We are seeking a highly skilled and experienced Solution Architect to craft supply chain data models that power our analytics products and to help us achieve our vision of a broadly reusable data layer. The ideal candidate will have a strong background in data modeling and thought leadership with a passion for driving business outcomes through innovative data solutions. Key Responsibilities: Translating business requirements/semantics into data models to enable Data Products in Palantir Foundry Define and document data models on different levels (conceptual, logical, physical) Identify and enable data from multiple ERP systems needed for respective data models Lead conversations with technical SMEs (e.g. architects on the ERP side) Guide Data Engineers to implement defined data models Determine data flow of to-be implemented data models (definition of data transformations at which point of the physical data model) Oversee the development efforts and validate that they lead to an accurate outcome (adherence to defined data model and meeting business requirements) Overseeing the data backend of our existing and future analytics applications in the Supply Chain domain to ensure a maximum of reusability of data assets Collaborate with other teams to evolve the data governance and security policies on Foundry to enable reusability of data assets in a secure way Provide technical guidance and mentorship to team members, especially non-technical staff (business SMEs, PMOs) Who you are: Must Have: Bachelor's or master's degree in a quantitative or technical field (math, statistics, computer science, data & analytics). 5 years of experience designing, developing, operationalizing, and maintaining data and analytics applications at enterprise scale. Proficiency in data modeling, ETL processes and data harmonization concepts Experience working with ERP data tables (SAP or Oracle) Ability to convey complex technical concepts to technical and non-technical stakeholders clearly and effectively Aptitude for identifying issues and developing innovative solutions to complex problems Familiarity with Python and SQL for data manipulation Good experience with tools for data modeling, warehousing, business intelligence, and databases (e.g. Tableau, Hadoop, SAS, Business Objects, ORACLE, and Hive). Experience in working with unstructured, semi-structured, and structured data. Nice to Have: Good understanding of Supply Chain processes and related data Experience with any data and analytics platforms like Palantir Foundry, Databricks, and others. Experience with data management concepts such as ontologies Familiarity with Spark What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress Apply now and become a part of our diverse team